3 ml platform engineer jobs at 3 companies in Dixon, CA
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Lead AI / ML Engineer
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$294k/yr HybridFull Time
6+ YOEBachelor's degree or equivalent experience, 6+ years developing and deploying AI/ML solutions, programming proficiency, experience with ML frameworks, big data, databases, and cloud platforms.
Python, R, Java, TensorFlow, PyTorch, Hadoop, Spark, AWS, Microsoft Azure, Google Cloud, D3.js, ggplot
1mo
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Senior Software Engineer, Full-Stack (PSA Liquidity Platform)
San Francisco or Oakland or Berkeley or Santa Ana or New Jersey or Texas or Florida or Shanghai or Hong Kong or Japan or Canada or Mexico or Germany or France or United States
$141k-$229k/yr RemoteFull Time
6+ YOE6+ years engineering experience; strong Java (Spring Boot), React or Svelte; experience with microservices, Kafka, Kubernetes, AWS, observability tools; AI/ML tooling familiarity; strong communication and ownership.
Java, Spring Boot, React, Svelte, Kafka, Kubernetes, AWS, Datadog, New Relic, OpenTelemetry
3mo
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Senior Staff Product Manager
San Ramon, California, United States
$218k-$273k/yr HybridFull Time
10+ YOE10+ years in product management; 7+ years owning platform, API, or developer products; experience defining and shipping integration platforms and developer ecosystems; strong commercial instincts; ability to align multiple engineering teams and stakeholders; familiarity with AI/ML product patterns; knowledge of financial services a plus.
API platform, Data contracts, Integrator framework, AI interoperability